Ball State University 2021 - 2022 Womens Basketball Season
Ball State University Basketball Player Data Analysis
Introduction
This r-markdown will visualize player game statistics as the season progresses.
Making the data set for player data only.
Summary
Statistics on all variable in data set
| Characteristic | Ally Becki, N = 291 | Anna Clephane, N = 131 | Annie Raunch, N = 281 | Blake Smith, N = 61 | Cameron Grant, N = 31 | Chyna Latimer, N = 291 | Estel Puiggros, N = 281 | Ivet Subirats, N = 271 | Jazmyn Turner, N = 161 | Maddie Bischoff, N = 221 | Marie Kiefer, N = 291 | Sydney Freeman, N = 271 | Thelma Dis Agustsdottir, N = 291 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Points | 9.0 (6.0, 13.0) | 16.0 (12.0, 20.0) | 4.5 (1.8, 11.0) | 0.0 (0.0, 0.0) | 0.0 (0.0, 0.0) | 7.0 (4.0, 12.0) | 3.5 (2.0, 6.2) | 4.0 (2.0, 6.0) | 2.0 (0.8, 4.0) | 2.5 (0.2, 4.0) | 7.0 (4.0, 9.0) | 10.0 (7.5, 15.5) | 12.0 (6.0, 15.0) |
| FG_Per | 0.44 (0.33, 0.54) | 0.53 (0.43, 0.56) | 0.67 (0.20, 1.00) | 0.50 (0.50, 0.50) | 0.00 (0.00, 0.00) | 0.43 (0.31, 0.50) | 0.33 (0.19, 0.52) | 0.43 (0.33, 0.50) | 1.00 (0.50, 1.00) | 0.33 (0.15, 0.50) | 0.44 (0.33, 0.62) | 0.36 (0.26, 0.42) | 0.43 (0.33, 0.54) |
| 3P_Per | 0.38 (0.20, 0.50) | 0.33 (0.33, 0.50) | 0.00 (0.00, 0.00) | 0.33 (0.33, 0.33) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.33) | 0.25 (0.00, 0.50) | 0.00 (0.00, 0.33) | 0.00 (0.00, 0.50) | 0.12 (0.00, 0.50) | 0.00 (0.00, 0.50) | 0.25 (0.15, 0.40) | 0.36 (0.20, 0.50) |
| FT_Per | 1.00 (0.38, 1.00) | 0.62 (0.43, 0.89) | 0.67 (0.50, 0.88) | NA (NA, NA) | NA (NA, NA) | 0.75 (0.50, 1.00) | 1.00 (0.50, 1.00) | 0.60 (0.50, 1.00) | 0.50 (0.50, 0.83) | 0.50 (0.50, 0.67) | 0.60 (0.50, 1.00) | 1.00 (0.69, 1.00) | 1.00 (0.50, 1.00) |
| Assist | 4.00 (3.00, 8.00) | 2.00 (1.00, 3.00) | 0.00 (0.00, 0.25) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) | 1.00 (0.00, 1.00) | 1.50 (0.00, 3.00) | 0.00 (0.00, 1.00) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) | 1.00 (0.00, 1.00) | 4.00 (2.50, 5.00) | 2.00 (1.00, 3.00) |
| Rebounds_Total | 5.00 (4.00, 9.00) | 3.00 (2.00, 4.00) | 3.50 (1.00, 4.25) | 1.00 (0.25, 1.00) | 0.00 (0.00, 0.00) | 5.00 (2.00, 7.00) | 1.00 (1.00, 2.00) | 1.00 (1.00, 3.00) | 1.00 (1.00, 2.25) | 0.50 (0.00, 1.00) | 6.00 (3.00, 7.00) | 3.00 (2.00, 3.50) | 4.00 (2.00, 6.00) |
| 1 Median (IQR) | |||||||||||||
Player based Shooting Percentage
##
## Call:
## glm(formula = W_L_B ~ Turnovers + FG_Per + Assist + Rebounds_Total +
## FT_Per + dfteam$"3P_Per", family = binomial(link = probit),
## data = dfteam)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.10647 -0.64951 -0.08296 0.70586 1.91501
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -10.92619 3.17618 -3.440 0.000582 ***
## Turnovers -0.06367 0.04513 -1.411 0.158303
## FG_Per 7.94571 4.54673 1.748 0.080539 .
## Assist 0.08618 0.06100 1.413 0.157727
## Rebounds_Total 0.15634 0.04081 3.831 0.000128 ***
## FT_Per 1.52834 1.58518 0.964 0.334972
## dfteam$"3P_Per" 1.40668 3.03723 0.463 0.643259
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 80.405 on 57 degrees of freedom
## Residual deviance: 52.147 on 51 degrees of freedom
## AIC: 66.147
##
## Number of Fisher Scoring iterations: 7##
## Call: glm(formula = W_L_B ~ Turnovers + FG_Per + Assist + Rebounds_Total +
## FT_Per + dfteam$"3P_Per", family = binomial(link = probit),
## data = dfteam)
##
## Coefficients:
## (Intercept) Turnovers FG_Per Assist
## -10.92619 -0.06367 7.94571 0.08618
## Rebounds_Total FT_Per dfteam$"3P_Per"
## 0.15634 1.52834 1.40668
##
## Degrees of Freedom: 57 Total (i.e. Null); 51 Residual
## Null Deviance: 80.41
## Residual Deviance: 52.15 AIC: 66.15